AI Developer

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

Work Location - J P Nagar Bangalore

Lead Time - Immediate

Budget 15 LPA

About the Role

Were seeking an AI Developer who specializes in agentic AI frameworksLangChain, 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).

ScopeWhat 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.

Please share the following details along with the most updated resume to geeta.negi@compunnel.com if you are interested in the opportunity:

• Total Experience
• Relevant experience
• Current CTC
• Expected CTC
• Notice Period (Last working day if you are serving the notice period)
• Current Location
• SKILL 1 RATING OUT OF 5
• SKILL 2 RATING OUT OF 5
• SKILL 3 RATING OUT OF 5

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