Design, build, and maintain AI-enabled applications and intelligent agents using Python and Java. Integrate LLMs, conversational AI, and ML models into enterprise systems, create APIs and microservices, ensure scalability and security, and collaborate with cross-functional teams to improve end-user journeys.
Job Summary
We are seeking an innovative and experienced AI Enabled Engineer to join our team. The ideal candidate will possess strong software engineering fundamentals and hands-on expertise in developing AI-powered solutions using Python and Java. This role requires experience in designing and building intelligent agents that are focused on enhancing end-user journeys and delivering seamless, personalized experiences.
The candidate will collaborate with cross-functional teams to architect, develop, and deploy scalable AI-driven applications that solve complex business problems and improve customer engagement.
Key Responsibilities
- Design, develop, and maintain AI-enabled applications and services using Python and Java.
- Build and deploy intelligent agents, copilots, and automation workflows that optimize end-user journeys.
- Develop, test, and integrate AI/ML models into enterprise applications.
- Collaborate with product managers, designers, and engineering teams to translate business requirements into scalable technical solutions.
- Design and implement APIs, microservices, and backend systems to support AI-powered capabilities.
- Integrate Large Language Models (LLMs), conversational AI frameworks, and third-party AI services into existing platforms.
- Monitor, evaluate, and continuously improve the performance, accuracy, and reliability of AI systems.
- Ensure security, scalability, and maintainability of AI-enabled solutions.
- Stay current with emerging technologies and industry trends in artificial intelligence and agentic systems.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Strong programming experience in Python and Java.
- Proven experience in building intelligent agents focused on end-user journeys, including conversational AI, copilots, or autonomous workflows.
- Solid understanding of software engineering principles, object-oriented programming, and system design.
- Experience developing and consuming RESTful APIs and microservices.
- Familiarity with databases, including SQL and NoSQL technologies.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience with Generative AI, Large Language Models (LLMs), and agentic AI frameworks such as LangChain, LangGraph, CrewAI, or similar technologies.
- Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Familiarity with CI/CD pipelines and Agile development methodologies.
Compensation, Benefits and Duration
Minimum Compensation: USD 44,000
Maximum Compensation: USD 154,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
This role involves leading the vision for autonomous machine operations, coordinating development with engineering teams, and driving product features based on customer feedback and market needs.
Top Skills:
Agile MethodologyAISoftware Engineering
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm sales leads by consulting customers on insurance needs, matching coverages, and closing policies. Participate in paid remote training and licensing, meet shift and work‑at‑home tech requirements, and maintain performance goals and quality standards.
Top Skills:
CableDslFiberHigh-Speed Internet (100 Mbps Down / 20 Mbps Up)PcWired Ethernet
Marketing Tech • Real Estate • Software • PropTech • SEO
Build and scale the analytics foundation: own dbt projects and Snowflake warehouse, create trusted datasets and semantic layers for AI, build ELT pipelines from APIs, implement testing/observability and CI/CD, design reconciliation models, enable stakeholder self-service, and partner cross-functionally to drive data-driven decisions across GTM, Product, Finance, People, and Operations.
Top Skills:
BigQueryCi/CdDbtDbt Semantic LayerGitMixpanelPosthogPythonRedshiftSalesforceSnowflakeSnowflake CortexSQL
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
