AI/ML Engineer

Benefits:401(k) matchingHealth insuranceOpportunity for advancementPaid time offTraining & developmentTechPossible is seeking a motivated AI/ML Engineer to join our team! At TechPossible, you’ll work alongside a group of dedicated professionals who take pride in delivering high-quality IT and managed services. We support businesses in managing, securing, and maintaining their technology systems, and we do it with a strong commitment to honesty, integrity, and doing things the right way. If you’re passionate about building innovative solutions and want to make a meaningful impact, you’ll feel right at home here.Job Summary: The AI/ML Engineer is the core hands-on builder on the AI team. This person writes the code that makes the AI features work — the voice agent prompts, the intent classifiers, the RAG pipelines, the evaluation harnesses, and the integrations that connect AI capabilities to business systems.Essential Job Responsibilities: (Including but not limited to)Implement AI workflows, including workflow logic, intent classification, entity extraction, and multi-step decision processes Build and tune LLM-powered features using OpenAI, Anthropic, and other APIs — including prompt engineering, structured output parsing, and function calling Develop NLP/classification systems for routing Design and run model evaluations: build test sets, measure accuracy/latency/cost, iterate on prompts and model choices Tune confidence thresholds (e.g., 90%/70% auto-vs-human routing) and monitor drift in production Integrate AI and workflows with existing enterprise systems Implement observability for AI systems, including structured logging, prompt and pipeline tracing, and cost attribution per execution Collaborate with cross-functional teams to operationalize and iterate on prompts Contribute to code review, technical design docs, and on-call rotations Delivers responsive and professional customer support by diagnosing and resolving technical issues, communicating clearly with non-technical users, and ensuring timely follow-up to maintain high levels of customer satisfactionKeep up with rapidly evolving technologies, algorithms, and industry trends Work closely with business managers and other engineers to align AI strategies with company goals Required Qualifications:Strong experience and knowledge in Python and TypeScript Hands-on LLM API experience: Anthropic Claude, OpenAI, at least one other provider; function calling, JSON mode, streamingPrompt engineering as a systematic practice — not ad-hoc wordsmithing, but versioned prompts with test sets and regression checksNLP fundamentals: intent classification, NER, embeddings, semantic search (pgvector, Pinecone)Create evaluation approaches that define meaningful success metrics, build test datasets, and track performance against client-specific KPIs.Model selection tradeoffs: when to use GPT-5 vs. Claude Sonnet vs. Haiku, when to fine-tune, when RAG is the right patternVoice AISTT/TTS integration: Deepgram Nova/Aura, Whisper, ElevenLabsReal-time streaming audio handling — latency budgets, interruption handling, turn-takingTwilio Voice API, SIP trunking concepts, WebRTC awarenessSoftware EngineeringBackend development: REST APIs, async patterns, message queuesDatabases: SQL (PostgreSQL, SQL Server), basic schema design; vector DB basicsCloud: Azure (AWS/GCP acceptable), containerization (Docker)Git, CI/CD, code review fundamentalsPreferred Skills: (Not Required)MLOps tooling: Langfuse, MLflow, Weights & BiasesFamiliarity with model adaptation techniques, such as fine-tuning (e.g., LoRA, supervised approaches) Experience with frameworks: LangChain, LlamaIndex, Pydantic AI — used judiciously, not as a crutchBenefits:Health Insurance – TechPossible will pay 50% of the employee’s premium401k Contribution – TechPossible will match employee contribution up to 3%Optional benefits: Dental, Vision, Accident, Critical Illness, Short Term Disability, and Life Insurance.Paid Time OffPaid HolidaysAccess to Employee Assistance ProgramCompany provided health club membershipTravel reimbursementOpportunities for professional development and certification supportSupportive, team-oriented work environmentAt TechPossible, we speak human, and we deliver results. We embed with your team to take full responsibility for your technology, bringing clarity where there’s complexity and control where there’s risk. Our experts secure, optimize, and manage your systems so they consistently perform at a high level. We don’t just keep things running; we make your technology a reliable driver of growth and a foundation for what’s next.