Job Title: Senior AI/ML Engineer – Solution Architect (GenAI & Agentic AI)

Experience: 5 Years

Location: Ahmedabad

Work Mode: Onsite

Employment Type: Full-time

Interview Process: 2 Technical + 1 HR

Ideal Candidate Profile

Someone who can operate as a Solution Architect, Technical Lead, and Individual Contributor simultaneously.

The ideal candidate should be able to take ownership of architecture, guide existing engineering teams, solve complex technical challenges, contribute directly to development, and help accelerate product delivery while maintaining engineering quality.

Role Overview

We are looking for a highly experienced Senior AI/ML Engineer with robust solution architecture and hands-on development capabilities to help build and scale an enterprise-grade AI-powered multi-agent platform.

The role involves designing AI architectures, leading technical implementation across parallel workstreams, mentoring developers, and contributing directly to development and DevOps activities.

The platform focuses on multi-agent orchestration, research automation, intelligent data retrieval, and human-in-the-loop workflows.

Key Responsibilities

• Design and implement scalable GenAI and multi-agent architectures.

• Build and manage agent orchestration workflows using LangGraph or custom frameworks.

• Develop RAG pipelines, semantic search, hybrid retrieval, and LLM integrations.

• Design intelligent workflows for intent detection, query clarification, and research automation.





• Work with relational databases, NoSQL databases, and vector databases.

• Provide technical leadership and architectural guidance to development teams.

• Actively contribute to Python backend development and API integrations.

• Support cloud infrastructure, Docker, Kubernetes, CI/CD, and DevOps activities.

• Establish engineering standards, code reviews, testing, and deployment practices.

• Collaborate with stakeholders and ensure timely delivery without compromising quality.

Required Technical Skills

• Programming: Python, FastAPI, Django, REST APIs.

• GenAI: LLMs, RAG, Agentic AI, Prompt Engineering, Embeddings.

• Frameworks: LangChain, LangGraph, LangSmith.

• Databases: PostgreSQL, MySQL, MongoDB.

• Vector Databases: ChromaDB, Pinecone, Weaviate, or similar.

• Cloud: GCP and/or AWS.

• DevOps: Docker, Kubernetes, CI/CD, cloud deployments.

• Data Engineering: PySpark, ETL pipelines, data processing and optimization.

Leadership & Experience

• 5+ years of overall software engineering experience.

• Strong experience in AI/ML and GenAI-based product development.

• Experience leading teams of approximately 5–15 developers.

• Ability to independently drive solution architecture and technical decisions.

• Must remain hands-on with development rather than focusing only on management.

• Robust stakeholder management and cross-functional collaboration skills.

Please share your updated resume at [HIDDEN TEXT]

📌 Senior AI/ML Engineer Solution Architect (Ahmedabad)
🏢 truelancer staffing
📍 Ahmedabad