GEN AI Developer GEN AI Developer

Zensar

3 - 4 years

5 - 6 Lacs

Pune

Posted:2 days ago| Platform:

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Skills Required

Backend github Version control GIT NoSQL Postgresql System design Application development MongoDB Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

TP4 Developer

Key Responsibilities:

Generative AI Systems Design
: Architect scalable, high-performance applications powered by Generative AI models (e.g., LLMs, diffusion models), with a focus on real-world usability and business integration.
Prompt Engineering & RAG Pipelines
: Design and implement optimized prompt strategies and Retrieval-Augmented Generation (RAG) workflows using LangChain and similar frameworks.
Agentic AI & Autonomous Workflows
: Develop and manage intelligent agents capable of multi-step reasoning, planning, and decision-making using frameworks like LangChain Agents or custom implementations.
Vector Store Integration
: Design and integrate vector databases for semantic search and document retrieval in GenAI workflows.
End-to-End AI Application Development
: Build and deploy AI-driven applications from scratch using Python and modern ML/AI toolkits. Ensure clean integration with APIs, databases, and frontend services.
Microservices & API Development
: Create modular, maintainable backend services using microservices architecture. Ensure RESTful APIs for smooth communication.
CI/CD & DevOps
: Develop and maintain CI/CD pipelines for model and app deployment. Ensure reproducibility, automated testing, and smooth rollout using tools like GitHub Actions, GitLab CI/CD, or Jenkins.
Database Management
: Use PostgreSQL and NoSQL databases effectively in storing structured and unstructured data, with focus on performance, indexing, and scaling.
Performance Optimization
: Continuously monitor, benchmark, and optimize applications for performance, scalability, and cost-efficiency across cloud and on-prem environments.
Collaboration & Mentorship
: Work closely with product managers, AI researchers, and junior developers. Lead by example and provide technical mentorship in AI system design and production-readiness.

Required Qualifications:

Technical Expertise
:
- Strong proficiency in
  Python
  (mandatory) and experience with AI/ML libraries like
  FastAI
  , Hugging Face Transformers, and OpenAI APIs.
- Experience implementing
  LangChain
  workflows, prompt chaining, agents, tools, and memory systems.
- Hands-on experience building
  RAG systems
  using vector DBs like
  FAISS, Pinecone, Weaviate
  , or
  Chroma
  .
- Solid understanding of
  Generative AI
  technologies (LLMs, image/video generation, embeddings).
- Working knowledge of
  Agentic AI
  concepts for building autonomous tools and applications.
Backend & Architecture
:
- Strong skills in
  system design
  , API development, and microservices-based backend architecture.
- Experience with
  PostgreSQL
  and
  NoSQL
  databases (e.g., MongoDB, DynamoDB).
Cloud & DevOps
:
- Familiarity with
  CI/CD pipelines
  , containerization (Docker), and cloud deployments (AWS/GCP/Azure).
- Git-based version control and collaborative development workflows.
Communication & Leadership
:
- Ability to translate AI research into production-ready applications.
- Strong collaboration skills and experience leading engineering efforts or mentoring peers.

Preferred (Nice to Have):

Experience working with
LLMOps tools
Exposure to
data labeling, fine-tuning
, or
custom LLM training
.
Familiarity with
streaming architectures
or
real-time AI inference
.

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