Senior AI Engineer at Arcadia

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Clean Energy, Renewable Energy, EnergyIndustries

Requirements

12+ years of professional software engineering experience, with 3+ years in AI/ML development
Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
Understanding of modern AI research (LLMs, diffusion models, transformers)
Experience deploying ML models in production with CI/CD
Strong analytical skills, ability to balance speed and rigor in experimentation
Passion for sustainability and the clean-energy mission
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
Deep technical expert in machine learning and AI, especially in production environments
Comfortable taking ambiguous, large-scale problems and translating them into scalable AI solutions
Strong collaborator with Product, Data, and Infrastructure teams

Responsibilities

Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
Drive performance improvements in model accuracy, latency, and cost efficiency
Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AILLMsPrompt EngineeringAgentic SystemsAnthropicOpenAIGoogle AISystems EngineeringProduction MLScalable AI

Questions & Answers

Common questions about this position

What is the salary or compensation for the Senior AI Engineer role?

This information is not specified in the job description.

Is this Senior AI Engineer position remote or does it require working from the office?

This information is not specified in the job description.

What key skills are required for the Senior AI Engineer role?

Key skills include deep expertise in machine learning and AI for production environments, experience building agentic pipelines with models from Anthropic, Google, OpenAI, proficiency in prompt engineering, designing and training ML/AI models (forecasting, NLP, graph learning, generative AI), and deploying models using Python in AWS/Kubernetes.

What is the company culture like at Arcadia?

Arcadia fosters bold thinking and diverse perspectives to tackle climate challenges, with a collaborative environment involving Product, Data, Infrastructure, SRE, and Analytics teams, and a passion for using AI to accelerate the clean energy transition.

What makes a strong candidate for the Senior AI Engineer position?

A strong candidate is a deep technical expert in ML/AI for production, comfortable with ambiguous large-scale problems, experienced in agentic pipelines and prompt engineering, and passionate about clean energy, with the ability to collaborate across teams and mentor juniors.

Arcadia

Data-driven healthcare solutions and analytics

About Arcadia

Arcadia focuses on improving healthcare outcomes through data-driven solutions in the healthcare sector, particularly in population health management. The company analyzes and manages the health outcomes of groups of people, serving clients such as healthcare providers, insurance companies, and government agencies. Its main product is a data platform that uses big data technology to process and store large volumes of healthcare data, allowing organizations to access and analyze this information effectively. This leads to better decision-making and enhanced patient care. Unlike many competitors, Arcadia offers a comprehensive suite of tools and consulting services that help clients optimize their use of the platform, particularly in areas like STARS HEDIS and risk adjustment accuracy. The goal of Arcadia is to improve efficiency in healthcare delivery, reduce disparities, and achieve better health outcomes for populations.

Boston, MassachusettsHeadquarters

2002Year Founded

$28.7MTotal Funding

DEBTCompany Stage

Consulting, HealthcareIndustries

501-1,000Employees