{"id":3128513,"url":"https://alion.io/job/techstart-mid-level-full-stack-engineer","title":"MID-LEVEL FULL STACK ENGINEER","company":{"id":2247645,"name":"TechStart","domain":"techstart.org","url":"https://alion.io/company/techstart-org","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Lima, Peru"],"countries":["PE"],"hiring_countries":["PE"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GraphQL","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"CloudFormation","optional":true},{"name":"Datadog","optional":true},{"name":"Grafana","optional":true},{"name":"Hugging Face","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-17T11:57:29Z","employer_posted_date":null,"last_verified_at":"2026-09-17T11:57:29Z","board_verified":false,"closed_at":null,"days_open":38,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":38},"description":"We are a fast-growing consulting and technology company focused on helping B2B SaaS and technology businesses improve growth, operational efficiency, and value creation through modern strategy, analytics, and AI-enabled processes. We work closely with high-growth companies and leadership teams in fast-paced environments where execution, adaptability, and ownership are highly valued. Role OverviewWe are seeking several mid-level Full Stack AI Engineers to join our growing team on a contract basis. You will own features end to end, from data pipelines and backend services through to the user-facing UI, with a strong emphasis on integrating AI and machine learning capabilities into production applications.\n\nWhat You Will Do Design, build, and maintain full stack features spanning backend services, APIs, data pipelines, and frontend UI. Integrate AI/ML models (LLMs, embedding models, classification, and other ML systems) into production workflows and user-facing applications. Write clean, tested, and maintainable code across the stack, owning your work from architecture through deployment. Collaborate daily with product managers, designers, and other engineers in an agile environment. Build and optimize data pipelines that feed into AI-driven features and analytics. Participate in code reviews, providing and receiving constructive feedback to maintain quality. Troubleshoot and debug issues across the full stack, from infrastructure to UI. Contribute to technical design discussions and help shape the direction of the product. Requisitos: What We Are Looking For 3-5 years of professional software development experience with a focus on full stack development. Strong proficiency in at least one backend language/framework (Python, Node.js, or similar) and one modern frontend framework (React, Angular, or similar). Hands-on experience integrating AI/ML models into production applications (API integration, prompt engineering, RAG pipelines, or similar). Experience building and working with REST and/or GraphQL APIs. Familiarity with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes). Solid understanding of database systems (SQL) and data pipeline concepts. Expertise in version control (Git) and CI/CD practices. Comfortable working in an English-speaking environment with strong written and verbal communication skills.\n\nNice to Have Experience with LLM frameworks and tools (LangChain, LlamaIndex, OpenAI API, Hugging Face, or similar). Familiarity with vector databases and embedding systems (Pinecone, Weaviate, pgvector, or similar). Background in data science or applied machine learning. Experience with infrastructure-as-code (Terraform, CloudFormation). Prior experience in a contractor or nearshore engagement model. Familiarity with observability and monitoring tools (Datadog, Grafana or similar). Beneficios Work Arrangement Full-time position. Fully remote work environment. Collaboration with international clients and teams. Occasional business travel may be required based on project needs.\n\nWhat We Offer Opportunity to work on high-impact projects with fast-growing technology companies. Exposure to international clients and business environments. Professional development and career growth opportunities. Flexible and remote-first work culture. Collaborative, innovative, and learning-oriented environment.\n\nLocationThis is a nearshore contractor position. 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