AI/ML Agent Developer - LangChain/LangGraph

Job Title : AI/ML Agent Developer

Location : Pune/Bangalore/Gurgaon

Work Mode: Hybrid

Immediate to 15 Days

Position Summary :

We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. Youll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation.

Key Responsibilities :

- Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel.

- Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection).

- Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops.

- Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management.

- Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments.

- Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability.

- Monitor and refine agent performance using logging, observability tools, and feedback signals.

Required Qualifications :

- Bachelors or Masters in Computer Science, AI/ML, Data Science, or related field.

- 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation.

- Proficiency in Python & Pyspark and ML libraries (PyTorch, TensorFlow, scikit-learn).

- Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers).

- Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems.

- Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems.

Preferred Skills :

- Familiarity with multi-agent frameworks and agent orchestration design patterns.

- Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction.

- Background in human-in-the-loop systems, active learning, or interactive AI workflows.

- Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search.

Why Join Us :

- Work at the forefront of AI orchestration and intelligent agents.

- Collaborate with a high-performing team driving innovation in enterprise AI platforms.

- Opportunity to shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.