Senior Full Stack Engineer (Conversational AI and Voice Applications)

• *Company Description**

Attain Solutions provides software development, implementation, quality assurance and support services for international clients. We are seeking a hands\-on senior engineer to assess and deliver a voice\-based practice capability for a US training business serving insurance agencies.

In the proposed experience, the AI plays a customer throughout a short conversation. The learner speaks naturally, while the customer raises a relevant concern, responds to questions and keeps its facts and character consistent. After the session, a separate assessment produces scores and a coaching PDF. The first scope is a personal\-lines and commercial\-lines pair, using client\-approved content.

• *Job Description** **What you will own**

• Assess existing LMS capabilities, reusable prototypes and focused extensions before recommending a configured or custom solution. Document feasibility, dependencies, delivery effort and operating costs.
• Build a working two\-way voice prototype, including responsive audio, turn\-taking, interruption handling, session state and recovery from common failures.
• Implement the customer role with approved facts, a persona, objections and an objective. Support varied learner responses and natural endings without feeding the learner the expected answers.
• Convert approved training material into configurable, versioned scenarios and rubrics. Keep the customer simulation separate from post\-session assessment.
• Investigate launch from Absorb LMS, browser microphone access and learner identity. Validate an embedded experience and a separate\-tab fallback; implement the agreed access and completion approach.

• *Engineering responsibilities**

• Produce evidence\-based scores and balanced coaching. Apply approved weights, exclusions and serious\-error rules; calculate totals in code and keep the PDF consistent with the underlying results.
• Store learner, agency, scenario, rubric and attempt records. Generate branded PDFs and an agreed basic export; preserve structured data for later reporting integrations.
• Implement agency and learner usage allowances, reset rules, alerts and limits as agreed. Handle simultaneous requests, retries and failed attempts without duplicate charging or results.
• Protect agency data boundaries, credentials and recordings. Apply agreed access, retention and deletion rules, with useful logs that do not expose unnecessary personal data.
• Deploy and maintain the application, manage environments and secrets, monitor latency and usage, resolve defects and hand over source code, configuration and operating documentation.

• *Qualifications** **Essential experience and skills**

• Proven ownership of at least one working two\-way voice application or conversational product with spoken interaction. Be ready to explain your contribution, architecture, latency, interruption handling, failure recovery and usage costs.
• Strong frontend development with TypeScript and React or a comparable framework; browser audio capture and playback, asynchronous UI behaviour, microphone permissions and session error states.
• Backend development in Python, for example FastAPI, or Node.js with TypeScript; REST APIs, WebSockets and/or WebRTC integration, authentication, background work and relational data modelling.
• Practical integration of LLM and speech services, using either real\-time speech\-to\-speech or speech recognition, a language model and speech synthesis. Strength in one coherent stack is sufficient.
• Prompt and context design, structured model outputs, scenario grounding and evaluation. Ability to test responses against approved facts and recognise when the system should acknowledge missing information.
• Third\-party API integration, secure session handling, SQL databases such as PostgreSQL, PDF generation and reliable export workflows.
• Automated testing and debugging across the browser, backend and AI services; Git, code review, deployment pipelines, Docker or equivalent packaging, and one cloud environment.
• Clear written English and the ability to translate a business requirement into a small, testable release, explaining assumptions and trade\-offs to a non\-technical project lead.

• *Preferred experience**

Absorb or another LMS; LTI 1\.3, OIDC/SSO or secure external\-tool launches; multi\-tenant SaaS; rubric\-based AI evaluation; training/coaching products; insurance workflows; document retrieval; and integrations with Sheets, BigQuery, HubSpot or Zapier. Avatar integration is useful if later included in scope. These are advantages, not requirements to know every platform.

• *Additional Information** **Role Details**

• *Company \& Location:** Attain Solutions \| Remote within India; Bengaluru preferred

• *Contract and capacity :** Planned 8\-12 weeks, full time at approximately 35\-40 hours per week

• *Initial assessment:** Paid 1\-2 weeks; subsequent build work depends on the selected approach and project approval

• *Experience and start** : Typically 5\-8 years in software engineering; relevant delivery evidence takes priority. Near\-term availability preferred.

• *Proposed duration and milestones :**

We recommend planning an initial 8\-12\-week engagement from kickoff. The paid assessment comes first. The remaining phases proceed against an agreed scope, estimate and project approval; their timing depends on the chosen route, content readiness and access.

• *Phase 1: Technical assessment**

• *Duration :** 1\-2 weeks

• *Expected outcome :** Options and reuse assessment; architecture; integration risks; work estimate; operating\-cost assumptions; recommendation.

• *Phase 2: Voice prototype**

• *Duration :** 2 weeks

• *Expected outcome :** A hosted two\-way practice example and sample assessment on approved or clearly marked demonstration content; documented limitations.

• *Phase 3: First pilot release**

• *Duration:** 4\-6 weeks

• *Expected outcome:** Agreed personal/commercial pair, learner access, usage controls, scoring, coaching PDF, structured results and required integration.

• *Phase 4 : Validation and handover**

• *Duration** : 1\-2 weeks

• *Expected outcome:** User testing, scoring calibration with content specialists, defect fixes, deployment and documented handover.

This is a staffing allowance, not a committed production release date. A focused extension of an existing platform may need less time; additional integration or product scope must be estimated separately.

• *What successful delivery looks like**

• The AI sustains the approved customer role across different learner approaches, raises the required practice opportunity and keeps scenario facts consistent.
• Representative strong, mixed and weak attempts are reviewed with the content specialists. Scores and feedback reflect demonstrated behaviour, with omissions and technical failures treated appropriately.
• Agreed browsers and LMS launch paths work. Access boundaries, usage limits, retries and common audio failures have been tested with Attain QA.
• Coaching PDFs match stored results. Actual audio measures are distinguished from text\-derived estimates; optional speaking metrics are included only when agreed and validated.
• Source code, scenario and rubric configuration, deployment instructions, monitoring, cost assumptions and a support runbook are handed over.

• *Working arrangements and ongoing support**

Provide a weekly demonstration, maintain an agreed task tracker and flag blockers early. Be available for scheduled US\-time\-zone discussions, with the overlap agreed in advance. Part\-time support may continue for 3\-6 months after the initial engagement, with scope and hours agreed separately; a starting planning allowance is 10\-20 hours per month.

• *What to include when applying**

Please share your CV or profile, earliest start date, weekly availability and expected hourly or monthly contract rate. Include a relevant voice\-application demo or architecture walkthrough, your exact contribution, and one example of a difficult production issue you resolved. A degree in a relevant discipline or equivalent practical experience is suitable.

Selection will focus on a technical discussion and a walkthrough of relevant work. The selected engineer will begin with the paid assessment described above. Training content and grading standards will be supplied and approved by the client specialists; Attain will coordinate scope and QA support.

• *Terms**

• Standard work timing: 3:00 PM to 12:00 AM IST, to ensure sufficient overlap with Tango Analytics' US\-based teams and clients.
• Flexibility may be required during critical project milestones, deployment activities, go\-live events, and production support periods.
• Location**:** Remote. Overlap with US morning and/or evening hours required.