{"id":3319813,"url":"https://alion.io/job/leapfrog-technology-ai-integration-engineer-2","title":"AI Integration Engineer","company":{"id":2894254,"name":"Leapfrog Technology","domain":"lftechnology.com","url":"https://alion.io/company/lftechnology","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":95,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":202,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kathmandu, Nepal"],"countries":["NP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Gemini","optional":false},{"name":"GPT-4","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Weaviate","optional":false},{"name":"AutoGen","optional":true},{"name":"CrewAI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Function Calling","optional":true},{"name":"JavaScript","optional":true},{"name":"Multimodal AI","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-08-18T05:16:40Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-11-03T04:59:11Z","board_verified":true,"closed_at":null,"days_open":76,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":76},"description":"The AI Integration Engineer builds the connective tissue between LLM APIs, existing product systems, and end users. They are not training models. They are integrating, orchestrating, and deploying AI capabilities into production software, reliably, securely, and at scale.\nKey Responsibilities:\nIntegrate LLM APIs (Anthropic Claude, OpenAI GPT-4o, AWS Bedrock, Google\nGemini) into backend services and user-facing products\nDesign and implement RAG pipelines: document ingestion, chunking strategy,\nvector store selection, retrieval tuning\nBuild agentic workflows using frameworks such as AgentCore, LangChain,\nLlamaIndex, or custom orchestration patterns\nManage prompt engineering, prompt versioning, and prompt evaluation\nframeworks\nImplement guardrails for LLM outputs: validation, content filtering, fallback logic\nMonitor AI system performance: latency, cost-per-query, accuracy drift, token\nusage\nCollaborate with frontend engineers to surface AI capabilities in product UIs\nOwn the AI integration layer in the SDLC, from spec to CI/CD to production\nobservability\nRequirements\n3+ years backend or full-stack experience; strong API design and consumption skills\n\nProven experience integrating LLM APIs (any major provider) into production applications, not just prototypes\n\nProficiency in Python and/or TypeScript/ Node.js\n\nHands-on experience with RAG: vector databases (Pinecone, Weaviate, pgvector etc), embedding models, chunking strategies.\n\nUnderstanding of prompt engineering: system prompts, few-shot examples, chain-of-thought, structured output\n\nSolid grasp of API security, rate limiting, cost management for LLM-based services\n\nExperience with AWS or another major cloud platform\n\nDesirable Skills:\nExperience with agentic frameworks: AgentCore, LangChain, LlamaIndex,\nCrewAI, AutoGen, or similar\n\nFamiliarity with multi-modal AI (vision, audio) or function calling / tool use\n\nUnderstanding of fine-tuning workflows even if not hands-on\n\nExperience using AI coding assistants to accelerate their own development workflow\n\nLife at Leapfrog:\nWork with talented engineers and remarkable professionals in Nepal, the US and Europe, building state-of-the-art digital health products.\n\nHave an amazing career growth plan with support from experienced mentors and unlimited learning opportunities.\n\nBe a part of an experienced team-apply the best industry practices, get mentored by experienced professionals and be ready to mentor the new ones.\n\nGet exposure to clients who are leading entrepreneurs and startups from Silicon Valley.\n\nYour work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide.\n\nYou will get the flexibility to work remotely or in the office- we value accountable freedom.\n\nGet growth opportunities, not just in your work. We organize various internal initiatives where you can be a part of a bigger learning community with webinars, Knowledge Sharing Sessions (KSS), and internal conferences.\n\nBe a part of a safe workplace where it’s okay to fail fast, get constructive feedback and grow as you move ahead.\n\nGet recognized for your work and all the changes you will make. We always look for, NO, create opportunities to celebrate efforts, play games, and have fun together!\n\nYou will have a lot of fun at Leapfrog, there’ll never be a dull day.\n\nBenefits and perks:\nWe believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.\nDaily Work Support\nHybrid work: Work from office or home, depending on our flexible roster\nSupport for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.\n5-day workweek: Enjoy weekends off and return refreshed on Mondays.\nFood: Access to healthy meals while on-site.\nProfessional Growth\n'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.\nChild scholarship: Scholarships for your child in selected schools.\nBi-annual bonus: Get timely festival and company bonuses.\nWork/Life Balance\nPaid time-offs: Annual, sick, well-being, and bereavement leaves.\nMaternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.\nPaternity leave: 15 days of paid paternity leave and 30 days work from home option after that.\nMenstruation leave: 6 days of paid menstruation leave annually.\nWe take care of you\nYour well-being: Company-funded counseling services from certified therapists as well as COVID care services.\nRetirement fund: Social security fund with health and accidental insurance.\nBank loan for eligible employees: Access bank loans processing through our partner banks.\nCelebrating your efforts\nEngagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!\nExposure: Visit and work in the States and build better client rapport.\nRecognition: In-house awards, appreciation platforms, and benefits at key tenure years.","description_format":"text","description_chars":5077,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Accidental insurance","Dental 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