Build production AI-powered automation, data pipelines, analytics, alerting, and anomaly detection systems. Integrate LLM features with internal tools, develop cloud and platform services, and collaborate with stakeholders to automate manual processes. Engineers specialize initially in AI, data, or platform engineering while contributing across tracks through pairing, code review, and shared delivery. The role requires strong API and data-handling skills, production engineering experience, clear communication, and willingness to work from the Chennai office during US Eastern overlap hours.
Experience: 7+ years
Location: Chennai, India (work from office)
Shift: US Eastern overlap, approximately 1:00 PM to 10:00 PM IST
Skills: Databricks or AI/Claude or GCP Big Query
About the role
We are building a three-person engineering team to deliver intelligent automation and analytics. The work spans AI-powered workflow automation, data pipelines and alerting.
Each engineer joins anchored in the track they are strongest in. Over time you will work across the others through pairing, shared code review and rotating work, so this is a role where you grow beyond the specialization you arrive with.
The two tracks
- AI engineering Building with LLM APIs and SDKs such as Claude, OpenAI or Gemini, including prompt design, tool calling, RAG or Agentic patterns, and shipping AI features into production
- Data engineering Building and scaling pipelines on platforms such as Databricks, Spark, Snowflake, Airflow or dbt, including data modelling, transformation and orchestration.
What you will do
- Build automation that replaces manual operational work
- Develop pipelines and analytics logic that surface actionable insights
- Ship AI features into production and integrate them with internal tools
- Build alerting and anomaly detection
- Document your work clearly and share knowledge across the team
- Work with business stakeholders to map manual processes and automate them
Essential
- 7+ years in software, data or platform engineering
- Strong API and data handling experience
- Depth in at least one of the three tracks above (e.g Databricks or AI/Claude or GCP Big Query)
- Track record of delivering production systems, not just prototypes
- Genuine interest in working across tracks over time
- Strong communication skills, written and verbal
Requirements
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Design CI/CD evaluation pipelines, run experiments across prompts and models, diagnose agent failures, improve latency and cost, and partner with AI Core engineering. This is a hands-on player-coach role requiring production software experience and expertise in evaluating complex, tool-using LLM systems.
Top Skills:
Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRubyRuby On Rails
Automotive
Build scalable Python backend services, APIs, cloud-native applications, and AI-powered solutions. Develop LLM, RAG, agentic, and multi-agent systems; deploy workloads with Docker and Kubernetes; maintain CI/CD pipelines; and operate applications across major cloud platforms. Collaborate cross-functionally to deliver secure, tested, observable, and production-ready software while optimizing performance, scalability, latency, and cost.
Top Skills:
Amazon Q DeveloperArgocdAWSAzureClaude CodeCursorDockerFaissGitGithub ActionsGithub CopilotGitlab CiGoogle AdkGoogle Cloud PlatformGraphQLHelmJenkinsKubeflowKubernetesLangchainLanggraphLarge Language ModelsMicroservicesMilvusMlflowNosql DatabasesPineconePythonRelational DatabasesRestTerraformTorchserveTriton Inference ServerVllmWeaviateWeights & BiasesWindsurf
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead end-to-end delivery of enterprise conversational AI platforms, including chatbots, voice bots, and virtual assistants. Design scalable cloud-native solutions using Amazon Lex, Dialogflow, CI/CD, Terraform, and responsible AI practices. Drive Agile execution, stakeholder alignment, operational excellence, and AI adoption while mentoring engineers and technical leads. Partner with product, architecture, security, and business teams to deliver secure, compliant, and innovative AI solutions.
Top Skills:
Agentic AiAmazon ConnectAmazon LexAWSAzureCcaasCi/CdDevOpsDevsecopsFive9GenesysGoogle AdkGCPGoogle DialogflowLlmsNiceNode.jsPythonRagTerraformTypescript
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
