Lead AI Developer

Lead AI Engineer (GenAI & AI/ML Focus)

Experience

About the Role

We’re seeking a Lead AI Engineer to drive the design, development, and scaling of intelligent systems powered by Generative AI and Agentic AI architectures. You’ll play a central role in shaping the technical foundation of our AI solutions, guiding junior engineers, leading experiments, and taking end-to-end ownership of core components such as prompt infrastructure, model routing logic, RAG systems, and autonomous agents.

This role blends deep hands-on engineering with architectural vision and technical leadership. If you’re someone who enjoys building fast, mentoring others, and solving tough AI problems across infrastructure, experimentation, and deployment, this role is for you.

What You’ll Do

• Architect and implement LLM-based GenAI systems: prompt pipelines, retrieval flows, model selection, fallback mechanisms, prompt optimization, prompt versioning, modular prompts, and tool orchestration strategies
• Design and lead multi-agent systems with memory, tool-use, task adaptation, and inter-agent collaboration using frameworks like LangGraph, CrewAI, AutoGen, LangChain
• Architect, deploy, and continuously evolve retrieval-augmented generation (RAG) pipelines, handle model substitution, evaluation, prompt versioning, and runtime fallback strategies
• Drive the creation of internal prompt libraries, LLM orchestration logic, and evaluation harnesses
• Collaborate on fine-tuning, embedding optimization, and multi-model substitution workflows
• Collaborate on model evaluation, benchmarking, and agentic stress testing in production
• Own end-to-end AI applications involving image, text, tabular, and signal data, working with both unimodal and multi-modal inputs
• Develop solutions in computer vision (e.g., OCR, classification, object detection) and multi-modal AI (e.g., text + image pipelines)
• Design and evaluate statistical models and classical ML systems, including time-series forecasting and predictive analytics
• Lead development of signal processing or anomaly detection systems (e.g., for sensor, telemetry, or log data)
• Build & support cost-optimization, compliance, and monitoring in GenAI deployments
• Mentor and unblock junior AI engineers and interns through code reviews, architecture sessions, and contribute to team knowledge base and enforce internal best practices
• Work closely with product, data, and platform teams to bring AI prototypes to production
• Partner with Data, Product, and Platform teams to ship enterprise-grade AI modules

Who Should Apply

You are a builder with:

• Minimum qualification:

  Bachelor’s or Master’s degree

• Disciplines:

  Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Engineering, Physics, Statistics, Finance, Economics, or any other quantitative or computational field
• 5+ years of professional experience in AI/ML development (with 1-2+ years in GenAI or Agentic systems)
• Proven experience architecting and shipping real-world AI applications at scale
• Strong mentoring skills and a product-focused engineering mindset
• An interest in shaping the long-term AI strategy while delivering short-term wins

Must-Have Skills

• Strong Python development skills with emphasis on modular, testable design
• Deep familiarity with LLM APIs, prompt frameworks (e.g., LangChain, LangGraph, CrewAI), and RAG pipelines
• Experience building systems for model selection, prompt fallback, tool orchestration, and versioning
• Familiarity with MLOps pipelines, ML monitoring, and model lifecycle management
• Experience in building and optimizing RAG architectures and vector database integrations
• Knowledge of model selection, fallbacks, prompt versioning, and task decomposition
• Strong grasp of autonomous agent design, reasoning, tool use, and multi-agent protocols
• Exposure to near real-time signal/voice processing, filtering, or event-based triggers (e.g., anomaly/event detection)
• Practical knowledge of statistical modeling, forecasting (ARIMA, Prophet, ML-based), or classical ML pipelines
• 5+ years in AI/ML engineering, including 1–2+ years working directly on GenAI/Agentic AI projects

Preferred Skills

• Experience with multi-agent collaboration patterns (e.g., A2A, MCP)
• Deployment experience on GenAI platforms like OpenAI, Claude, Vertex AI, Amazon Bedrock, or Azure GenAI
• Familiarity with serverless deployment, egress handling, and LLM usage constraints
• Exposure to evaluation frameworks, benchmarking suites, or internal testing systems
• Experience integrating AI flows with external systems (BI tools, dashboards, APIs, automation platforms)
• Prior experience designing multi-modal pipelines combining vision, text, or sensor data

Bonus / Good-to-Have

• Hands-on with fine-tuning workflows (LoRA, PEFT, etc.)
• Understanding of vector database internals and hybrid retrieval methods
• Familiarity with CV/multi-modal AI workflows using OpenCV, TorchVision, CLIP, BLIP, or related libraries
• Prior experience contributing to open-source GenAI libraries or leading internal tool development

Why Join Us

• Help shape the next-gen AI stack from the ground up
• Work in a fast-moving environment with real ownership and autonomy
• Collaborate with a cross-disciplinary team at the cutting edge of GenAI and agentic systems
• Be part of an organization that values experimentation, modularity, and long-term impact

shikha.rana@antiersolutions.com