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InCommon

Artificial Intelligence Engineer

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Job Description

InCommon is hiring on behalf of a Global Technology Solutions provider based in Pune

About Us

We are a global technology consultancy focused on building ambitious digital products. Our team of engineers, designers, and product managers approach their work as a craft obsessing over quality, innovation, and real-world impact.

About the Role

We are looking for an AI Engineer to build, deploy, and optimize AI solutions especially Large Language Model (LLM) systems for real-world business applications. You'll work across the full development lifecycle: from setting up data pipelines to integrating AI into production environments with a strong focus on performance, monitoring, and business value.

You'll thrive here if you enjoy working independently, navigating ambiguity, and pushing AI systems from experiments into production-grade solutions.

Key Responsibilities

Model Development & Integration:

Fine-tune, deploy, and evaluate LLMs (including RAG and vector database integrations) for client-specific use cases.

Data Pipelines:

Build robust data ingestion, processing, and transformation pipelines to support model training and inference workflows.

AI/ML System Architecture:

Architect end-to-end AI solutions selecting the right models, frameworks, and MLOps tools to meet performance and scalability goals.

Orchestration & Automation:

Build AI workflows using tools like n8n, relay.app, and integrate multiple AI plugins (e.g., Byword, Exa, Clay) to create cohesive systems.

Monitoring & Observability:

Implement model monitoring, testing frameworks, and evaluation pipelines to ensure reliability, robustness, and compliance in production.

Collaboration & Mentorship:

Collaborate closely with cross-functional teams (design, engineering, product). Mentor junior engineers when required.

Continuous Learning & Sharing:

Stay on top of AI/ML advancements and actively share learnings through case studies, internal workshops, and publications.

What We're Looking For

  • 37 years of hands-on experience in AI/ML engineering, with proven experience working with LLMs and multi-agent systems.
  • Strong Python skills with production-grade usage of libraries like scikit-learn, PyTorch, TensorFlow, Hugging Face, or similar.
  • Experience deploying and monitoring AI models in production environments using MLOps platforms (MLflow, Kubeflow, etc.).
  • Deep understanding of vector databases, retrieval-augmented generation (RAG), and prompt engineering best practices.
  • Practical exposure to multimodal AI systems (combining text, image, audio inputs).
  • Comfort with fast-changing environments; ability to move fast, ship often, and iterate based on feedback.
  • Strong communication skills proactive in raising blockers, suggesting improvements, and collaborating across functions.

Nice to Have

  • Prior experience working in a consultancy/startup setting.
  • Experience with serverless architectures and scalable cloud deployments (AWS, GCP, Azure).
  • Familiarity with privacy, ethics, and compliance concerns in AI deployments.

Why Join Us

  • Build real, production-grade AI solutions not just POCs or prototypes.
  • Work closely with senior engineers, designers, and product managers who deeply care about craft.
  • Opportunity to drive impact directly with customers in 0-1 and 1-n product journeys.
  • Learn fast, ship fast, and see your work in the hands of real users.

More Info

Industry:Other

Function:Technology

Job Type:Permanent Job

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Date Posted: 07/05/2025

Job ID: 111654955

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