{"id":3424692,"url":"https://alion.io/job/techstarsgroup-generative-ai-engineer","title":"Generative AI Engineer","company":{"id":4409140,"name":"TechStarsGroup","domain":"techstarsgroup.com","url":"https://alion.io/company/techstarsgroup","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":116000,"max_usd":224000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":508},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CloudFormation","optional":false},{"name":"Datadog","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"Hugging Face","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Tokenization","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-28T22:01:17Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T12:21:57Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Generative AI Engineer\nAbout Our Client\nOur client is an innovative healthcare technology company that's on a mission to revolutionize health insurance in the United States. They're building a more personalized, affordable, and transparent alternative to traditional health insurance models. Their diverse team brings together expertise from technology, healthcare policy, and various other backgrounds, all united by the goal of transforming a complex industry.\nAbout the Role\nWe're recruiting a Generative AI Engineer with deep expertise in AWS and serverless architecture to optimize and refine large language model (LLM) interactions while ensuring seamless integration into cloud-based environments. This role requires experience in designing and deploying scalable, serverless AI applications using Amazon Bedrock, AWS Step Functions, AWS Lambda, API Gateway, DynamoDB, and other cloud-native services.\nWhat You'll Do\nDevelop, optimize, and refine AI-generated outputs through advanced prompt engineering techniques\nDesign agentic systems leveraging AWS Step Functions and Amazon Bedrock\nDesign and implement serverless workflows to support AI-driven applications using AWS Lambda, API Gateway, and DynamoDB\nBuild and maintain scalable prompt automation pipelines using AWS services\nExplore prompt strategies to enhance AI model responses and mitigate inconsistencies or hallucinations\nConduct performance monitoring, logging, and error handling for AI-related API calls and workflows in AWS\nStay updated on advancements in AI, LLMs, and cloud computing, applying new techniques to improve model performance\nDevelop documentation, best practices, and internal tooling for prompt engineering within a serverless ecosystem\nWhat You'll Bring\nBachelor's or Master's degree in Computer Science, Information Systems, Business Administration, or a related field\n4+ years of professional experience in software engineering, with a focus on AI or machine learning platforms\nFluency in AWS serverless architecture, including Lambda, API Gateway, Step Functions, S3, DynamoDB, and IAM\nStrong TypeScript programming skills\nHands-on experience with AI APIs such as OpenAI, Anthropic, and Hugging Face\nUnderstanding of LLM behavior and prompt engineering techniques, including model biases, tokenization, embeddings, and response optimization\nCloud-native development expertise, including deploying and scaling AI applications in AWS\nExperience with infrastructure as code (IaC) using AWS SAM, AWS CDK, Serverless framework, or CloudFormation\nFamiliarity with monitoring and logging tools such as AWS CloudWatch, X-Ray, or Datadog\nAbility to troubleshoot performance bottlenecks in serverless environments and optimize for cost-efficiency\nWhat You'll Get\nCompetitive salary, bonus opportunity, and equity package\nComprehensive Medical, Dental, and Vision benefits\nA 401k retirement plan\nPaid vacation and company holidays\nOpportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S.","description_format":"text","description_chars":3023,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Health insurance","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-28T22:01:17Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely 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