5 Llm Integrations Jobs

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Vice President- AI Implementation & Deployment Lead -Agentic AI! In this role, you%27ll be part of Genpact%27s transformation under GenpactNext , as we lead the shift to Agentic AI Solutions&mdashdomain-specific, autonomous systems that redefine how we deliver value to clients. You%27ll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines. Responsible for end-to-end implementation, configuration, and deployment of agentic AI solutions into client environments. This role ensures the designed AI agents are properly integrated, tested, and optimized for real-world performance, while adhering to security, compliance, and scalability requirements. Key Responsibilities 1. Solution Implementation Translate solution design and architecture into detailed deployment plans. Configure, fine-tune, and train AI agents based on client-specific workflows and datasets. Integrate agentic AI systems with enterprise applications (ERP, CRM, ticketing, data lakes, APIs, RPA platforms). Implement multi-agent orchestration frameworks and process automations. 2. Deployment & Go-Live Manage staging, UAT, and production deployment cycles. Conduct performance tuning, latency reduction, and error handling configuration. Establish monitoring, logging, and alerting for ongoing agent health checks. Support client IT and operations teams during go-live, ensuring minimal business disruption. 3. Testing & Quality Assurance Develop and execute test plans covering functional, regression, performance, and security testing. Validate agentic AI outputs against accuracy benchmarks and business KPIs. Implement feedback loops for continuous improvement. 4. Governance & Compliance Ensure deployments meet data privacy regulations (GDPR, HIPAA, local laws). Apply ethical AI practices, bias mitigation, and secure data handling. Maintain detailed implementation documentation for audits and knowledge transfer. 5. Post-Deployment Optimization Monitor adoption and usage metrics identify enhancement opportunities. Coordinate periodic model updates, retraining, and scalability improvements. Provide Tier-2/3 support for troubleshooting complex AI agent behavior. Qualifications we seek in you! Minimum Qualifications Technical Expertise: Strong understanding of agentic AI frameworks, autonomous agent orchestration, and LLM integrations. Proficiency in APIs, webhooks, and enterprise middleware (MuleSoft, Boomi, Azure Logic Apps, etc.). Familiarity with workflow automation platforms (UiPath, Power Automate, ServiceNow Orchestration). Implementation Skills: Hands-on experience in deploying enterprise-grade AI or automation solutions. Strong command over CI/CD, containerization (Docker/Kubernetes), and cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI). Soft Skills: Strong project management and stakeholder communication abilities. Ability to translate technical steps into user-friendly guides for client teams. Collaborative mindset for working with solution architects, data scientists, and operations teams. Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

We are in the process of developing an AI-powered hiring platform with the aim of revolutionizing the recruitment industry. At this moment, we are actively seeking a CTO co-founder to join us in this exciting phase of our journey. Our startup has been meticulously refining the concept and gaining early traction behind the scenes for several months. What sets us apart is that we are not merely at the ideation stage; we are already engaged in advanced discussions with a US-based investor. We have successfully concluded several rounds of meetings, and the investor has displayed significant interest and is planning an in-person meeting. The outlook for our seed funding round appears promising, and we are eager to onboard the right tech leader before proceeding further. As a CTO co-founder, we require an individual who can assume complete responsibility for the technological aspects ranging from Minimum Viable Product (MVP) to scaling. Your responsibilities will include designing and developing scalable, secure, and high-performance systems, leading and nurturing the tech team, overseeing architecture decisions, project timelines, and delivery, actively participating in product strategy discussions with the founding team, and contributing to investor presentations from a technological standpoint. The preferred tech stack for our platform includes: - Frontend: React.js / Next.js - Backend: Python (FastAPI / Django) - AI/ML: Python-based LLM integrations, vector databases - Database: PostgreSQL, Redis - Infrastructure: AWS or GCP, Docker, CI/CD pipelines The ideal candidate should possess a minimum of 5-10 years of experience in software engineering, with a proven track record of building or scaling products from inception. Strong leadership skills, team-building capabilities, and familiarity with developing AI-integrated platforms are advantageous. Candidates should be based in Kerala or willing to relocate. Ideally, the candidate should be able to work from our Cochin office for at least a portion of the week. This opportunity extends beyond a traditional employment role, offering the chance to join as a co-founder with equity. You will play a pivotal role in decision-making and the establishment of a significant venture from the ground up. If this opportunity resonates with you or if you are aware of someone who might be a suitable fit, we look forward to connecting with you. #startup #cofounder #AI #python #react #investor #hiring #kerala,

As a Technical Product Manager (TPM) at our company, you will play a crucial role in owning the end-to-end lifecycle of our AI platform and applications. Your responsibilities will include managing the product roadmap for AI-enabled applications, collaborating with engineering leads and designers, and ensuring the successful delivery of products aligned with business and technical goals. You will lead agile ceremonies such as sprint planning, backlog grooming, reviews, and retrospectives. Additionally, you will prioritize the product backlog based on value, effort, and technical feasibility, working closely with developers utilizing technologies like Python, React.js/Node.js, Vector DBs, and RDBMS. Furthermore, you will drive user research, collaborate with UI/UX teams to deliver high-impact interfaces, and partner with QA and DevOps to ensure smooth releases and performance tracking. Engaging with internal stakeholders and customers to capture feedback, validate features, and drive iteration will also be a key aspect of your role. To be successful in this position, you should hold a Bachelor's or Master's degree in Engineering, Computer Science, or a related field, along with 6+ years of overall experience, including 3+ years in a Technical Product Manager or Agile Product Owner role. Your solid understanding of modern technology stacks and proficiency in product management tools will be essential. Preferred qualifications include exposure to AI/ML-based products, familiarity with DevOps practices and API testing tools, as well as certification in Scrum, SAFe, or Agile Product Management. Experience in B2B SaaS product development will also be advantageous. Join us to work at the cutting edge of AI, UX, and scalable architecture, taking ownership of mission-critical products that are reshaping enterprise automation. You will have the opportunity to collaborate with a talented cross-functional team in a dynamic, innovation-driven culture, offering competitive salary, flexible working options, and growth opportunities.,

As a Voice AI Engineer, you play a crucial role in shaping the next era of human-machine interaction, where seamless conversations take place in real-time with voice-first intelligence. Your responsibilities include designing, building, and maintaining real-time audio communication pipelines using technologies such as WebSockets, Redis, and Django Channels. Integration and optimization of Speech-to-Text (STT) and Text-to-Speech (TTS) engines for efficient communication are also part of your tasks. Collaboration with cross-functional teams to embed Large Language Models (LLMs) like OpenAI, Claude, and Gemini into dynamic conversational flows is essential for success in this role. You are expected to continuously monitor, test, and debug production systems to ensure high system uptime and low error rates. Conducting R&D-style experiments to validate new tools, frameworks, or model integrations, from Whisper to Eleven Labs, is also a key aspect of your job. Writing clean, modular, well-documented code, participating in code reviews, and engaging in architecture discussions are integral parts of your daily routine. To excel in this role, you must have experience working with technologies such as Python, Django REST Framework (DRF), Django Channels, WebSockets, Redis Pub/Sub, Celery, STT, TTS, LLM integrations, and AWS infrastructure. A passion for Voice AI, a builder's mindset focused on rapid prototyping and problem-solving, development experience in Python/Django, and an understanding of asynchronous programming, WebSockets, and task queues like Celery are highly valued qualities. Enthusiasm or prior exposure to voice technologies (STT/TTS) or LLM-driven applications will be beneficial. Hands-on experience with tools like Whisper, ElevenLabs, Google Cloud STT/TTS, as well as building chatbots, voice bots, or LLM-based apps, are considered bonus points. Working at SMS Magic offers a competitive compensation package based on performance, recognition for the value you bring to the business, a supportive work culture that promotes personal growth, and exposure to a dynamic global business environment. You will have the freedom and flexibility to handle your role in a way that suits you best, gain exposure to innovative technology, and have the opportunity to make high-impact contributions to Business teams. SMS Magic, a trusted messaging leader for over 16 years, is committed to inclusiveness, fairness, accessibility, and creating a great place to work for passionate individuals. If you meet the criteria and are enthusiastic about joining a team dedicated to revolutionizing human-machine interaction, contact SMS Magic to explore this exciting opportunity further. Visit www.sms-magic.com to learn more about us and our mission to be the world's best Messaging Partner.,

Role Overview: As a Chief Technology Officer, you will craft the architecture and scalability roadmap for Lucios core services. Youll partner closely with the Founders, Product, and Engineering leadership to design and build systems that handle rapid growth, ensure high availability, and maintain data security. Youll also mentor senior engineers, shape best practices, and drive technical initiatives end-to-end. What Youll Do: Architect & Scale: Design and evolve Lucios microservices-based backend to support 10 user growth. Technical Leadership: Own end-to-end delivery of major features, from design through production rollout and monitoring. Mentorship: Guide and upskill engineers on system design, performance optimization, and code quality. Reliability & Security: Establish SLAs, implement observability (metrics, logging, tracing), and enforce best practices for data privacy and compliance. Cross-Functional Collaboration: Work with Founders, Product, and Design to translate lawyer workflows into robust, intuitive solutions. Hiring: Onboard talented engineers who are aligned with our vision and can help us scale. Who You Are 8+ years of software engineering experience, with 3+ years in a senior or staff role. Proven track record architecting and scaling cloud-native SaaS products (AWS/GCP/Azure). Deep expertise in backends, distributed data stores (MongoDB, Redis), and containerization (Docker, Kubernetes). Hands-on with DevOps toolchains (CI/CD, Terraform). Strong knowledge of LLM integrations, vector databases, and AI inference pipelines. Excellent communicator who can drive technical consensus and write clear design docs. Nice to Have Experience in legal-tech or document processing. Background in frontend frameworks (React) for end-to-end ownership.