AI Developer (Agentic AI Frameworks, Computer Vision & LLMs)

Job Description – AI Developer (Agentic AI Frameworks, Computer Vision & LLMs)

Location

(Hybrid - Bangalore)

About the Role

We’re seeking an AI Developer who specializes in agentic AI frameworks—LangChain, LangGraph, CrewAI, or equivalents—and who can take both vision and language models from prototype to production. You will lead the design of multi‑agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end‑to‑end deep‑learning life‑cycle (training, scaling, deployment, and monitoring).

Key Responsibilities

Scope

What You’ll Do

Agentic AI Frameworks (Primary Focus)

• Architect and implement multi‑agent workflows using LangChain, LangGraph, CrewAI, or similar.
• Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decision‑making, and orchestration.
• Benchmark and optimize agent performance (cost, latency, reliability).

Image Classification & Extraction

• Build and fine‑tune CNN/ViT models for classification, detection, OCR, and structured data extraction.
• Create scalable data‑ingestion, labeling, and augmentation pipelines.

LLM Fine‑Tuning & Retrieval‑Augmented Generation (RAG)

• Fine‑tune open‑weight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed.
• Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domain‑specific adapters.

Deep Learning at Scale

• Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B).
• Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI.

MLOps & Production Excellence

• Build robust APIs/micro‑services (FastAPI, gRPC).
• Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers.
• Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning.

Collaboration & Mentorship

• Translate product requirements into scalable AI services.
• Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices.

Minimum Qualifications

• B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline.
• 5+ years building production ML/DL systems with strong Python & Git.
• Demonstrable expertise in at least one agentic AI framework (LangChain, LangGraph, CrewAI, or comparable).
• Proven delivery of computer‑vision models for image classification/extraction.
• Hands‑on experience fine‑tuning LLMs and deploying RAG solutions.
• Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure).
• Knowledge of distributed training, GPU acceleration, and performance optimization.

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Job Type: Full-time

Pay: Up to ₹1,200,000.00 per year

Experience:

• AI, LLM, RAG: 4 years (Preferred)
• Vector database, Image classification: 4 years (Preferred)
• containerization (Docker): 3 years (Preferred)
• ML/DL systems with strong Python & Git: 3 years (Preferred)
• LangChain, LangGraph, CrewAI: 3 years (Preferred)

Location:

• Bangalore, Karnataka (Preferred)

Work Location: In person