Artificial Intelligence Engineer

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. Youll 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.

Youll thrive in this role if you enjoy working independently, navigating ambiguity, and pushing AI systems from experimentation to scalable, production-grade solutions.

Key Responsibilities

Model Development & Integration

• Fine-tune, deploy, and evaluate LLMs tailored to client-specific use cases.
• Implement retrieval-augmented generation (RAG) systems and vector database integrations.

Data Pipelines

• Design and build high-performance data ingestion, transformation, and processing pipelines for training and inference workflows.

AI/ML System Architecture

• Architect end-to-end AI systems, selecting the right tools, cloud services, and ML frameworks to meet business and technical goals.
• Integrate observability and testing into pipelines to ensure continuous validation and model health.

Orchestration & Automation

• Build multi-agent AI workflows using tools like n8n, relay.app, and a variety of plugins (e.g., Byword, Exa, Clay).
• Automate processes for deployment, testing, and updates across different stages of development.
  

Monitoring & Observability

• Develop monitoring dashboards and alerting systems to track AI model performance, data drift, and inference quality.
• Establish evaluation pipelines to assess impact across changing variables and ensure robustness.

Collaboration & Mentorship

• Partner with design, product, and engineering teams to translate business goals into technical implementations.
• Mentor and support junior engineers, sharing best practices in AI/ML system design.

Continuous Learning & Sharing

• Stay up-to-date with advancements in AI/ML, LLMs, and MLOps.
• Contribute internally through case studies, blogs, and workshops to foster a culture of knowledge sharing.

What Were Looking For

• 37 years of hands-on experience in AI/ML engineering.
• Strong programming expertise in Python, with production experience using libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.
• Proven ability to design, fine-tune, and deploy LLMs and multi-agent systems in real-world environments.
• Hands-on experience with vector databases, prompt engineering, and RAG architectures.
• Familiarity with

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  AI/MLOps workflows and tools like MLflow, Kubeflow, or similar.
• Exposure to multimodal AI systems involving text, image, or audio inputs.
• Proficient in building cloud-native applications with AWS, GCP, or Azure.
• Strong communicator who is proactive in surfacing blockers, brainstorming solutions, and collaborating cross-functionally.

Nice to Have

• Experience working in startups or consultancy environments.
• Exposure to serverless architectures and scalable AI infrastructure.
• Awareness of AI ethics, privacy, and compliance frameworks.

Why Join Us

• Build real, production-grade AI systems not just prototypes.
• Collaborate with talented engineers, designers, and product leads who care deeply about building with purpose and precision.
• Work directly with customers in their 0-1 and 1-n journeys, helping shape solutions from scratch.
• A fast-paced environment that encourages learning, experimentation, and continuous feedback.